Movement of attention across the visual field.

Tsal, Yehoshua

doi:10.1037/0096-1523.9.4.523

Cited by 258 publications

(325 citation statements)

References 8 publications

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“…E.g., detailed auditory and visual processing can feed information to the association cortex where it can be processed simultaneously, possibly giving feedback to the primary sensory regions. The propagation velocities calculated by SMNI, ∼1 cm/sec, also are consistent with observed movements of attention [160] and of hallucinations [161] across the visual field. This strongly suggests that nearest-neighbor mesocolumnar interactions as developed here are an important mechanism in these movements.…”

Section: General Descriptionsupporting

confidence: 67%

Statistical mechanics of neocortical interactions: A scaling paradigm applied to electroencephalography

Ingber

1991

Phys. Rev. A

124

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A series of papers has developed a statistical mechanics of neocortical interactions (SMNI), deriving aggregate behavior of experimentally observed columns of neurons from statistical electrical-chemical properties of synaptic interactions. While not useful to yield insights at the single neuron level, SMNI has demonstrated its capability in describing large-scale properties of short-term memory and electroencephalographic (EEG) systematics. The necessity of including nonlinear and stochastic structures in this development has been stressed. In this paper, a more stringent test is placed on SMNI: The algebraic and numerical algorithms previously developed in this and similar systems are brought to bear to fit large sets of EEG and evoked potential data being collected to investigate genetic predispositions to alcoholism and to extract brain "signatures" of short-term memory. Using the numerical algorithm of Very Fast Simulated Re-Annealing, it is demonstrated that SMNI can indeed fit this data within experimentally observed ranges of its underlying neuronal-synaptic parameters, and use the quantitative modeling results to examine physical neocortical mechanisms to discriminate between high-risk and low-risk populations genetically predisposed to alcoholism. Since this first study is a control to span relatively long time epochs, similar to earlier attempts to establish such correlations, this discrimination is inconclusive because of other neuronal activity which can mask such effects. However, the SMNI model is shown to be consistent with EEG data during selective attention tasks and with neocortical mechanisms describing short-term memory previously published using this approach. This paper explicitly identifies similar nonlinear stochastic mechanisms of interaction at the microscopic-neuronal, mesoscopic-columnar and macroscopic-regional scales of neocortical interactions. These results give strong quantitative support for an accurate intuitive picture, portraying neocortical interactions as having common algebraic or physics mechanisms that scale across quite disparate spatial scales and functional or behavioral phenomena, i.e., describing interactions among neurons, columns of neurons, and regional masses of neurons.PA

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Section: General Descriptionsupporting

confidence: 67%

Statistical mechanics of neocortical interactions: A scaling paradigm applied to electroencephalography

Ingber

1991

Phys. Rev. A

124

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“…Some researchers (e.g. Shulman et al, 1979;Tsal, 1983) have presented results compatible with this view of attention. Others (e.g.…”

Section: Methodsmentioning

confidence: 56%

Time course of visual extrapolation accuracy

Lyon

Waag²

1995

Acta Psychologica

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“…In a recent paper in this journal, Duncan (1981) discusses the theoretical implications of the finding that responding to a target in the visual field is facilitated by advance knowledge of its spatial location (e.g., Eriksen & Hoffman, 1973, 1974Posner, 1980;Posner, Snyder, & Davidson, 1980;Tsal, 1983). He concludes that such results do not show that attention can facilitate perceptual processing per se; they could be due to postperceptual processes.…”

mentioning

confidence: 87%